AI-900: Microsoft Azure AI Fundamentals



Kursarrangør: Glasspaper AS
Sted: Oslo, Helsfyr
Oslo
Kursadresse: Brynsveien 12, 0667 Oslo (kart)
Type:Åpent kurs / gruppeundervisning
Undervisningstid: kl 09:00 - 16:00
Varighet: 1 dag
Pris: 9.500
Neste kurs: 04.06.2024 | Vis alle kursdatoer

AZ-900: Microsoft Azure Fundamentals. This course will provide foundational level knowledge of cloud services and how those services are provided with Microsoft Azure.

This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them.

Prerequisites
Familiarity with computers and using a web browser.

Course goals
After completing this course, students will be able to:

• Describe Artificial Intelligence workloads and considerations
• Describe fundamental principles of machine learning on Azure
• Describe features of computer vision workloads on Azure
• Describe features of Natural Language Processing (NLP) workloads on Azure
• Describe features of conversational AI workloads on Azure

Course content

Module 1: Introduction to AI

In this module, you'll learn about common uses of artificial intelligence (AI), and the different types of workload associated with AI. You'll then explore considerations and principles for responsible AI development.

Module 2: Machine Learning

Machine learning is the foundation for modern AI solutions. In this module, you'll learn about some fundamental machine learning concepts, and how to use the Azure Machine Learning service to create and publish machine learning models.

Module 3: Computer Vision

Computer vision is a the area of AI that deals with understanding the world visually, through images, video files, and cameras. In this module you'll explore multiple computer vision techniques and services.

Module 4: Natural Language Processing

This module describes scenarios for AI solutions that can process written and spoken language. You'll learn about Azure services that can be used to build solutions that analyze text, recognize and synthesize speech, translate between languages, and interpret commands.

Module 5: Conversational AI

Conversational AI enables users to engage in a dialog with an AI agent, or bot, through communication channels such as email, webchat interfaces, social media, and others. This module describes some basic principles for working with bots and gives you an opportunity to create a bot that can respond intelligently to user questions.

Certification
This training is relevant preparation for exam AI-900: Microsoft AI Azure Fundamentals.

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